PlayerSells

Who follows both? X audience overlap checker

Put two X accounts in and this page shows which accounts follow both of them, drawn from our own follow graph of 79 million edges. Useful for sizing up a competitor, checking whether two creators share a crowd before paying either of them, or finding the people who already sit in both worlds. Every other tool that does this asks you to sign up first. This one does not, and there is no export limit because there is nothing to export around.

Handles or profile URLs both work. No account, no email, no daily limit.

@naval and @paulg

266 accounts follow both, which is 18.2% of the smaller indexed set (2,667 for @naval, 1,464 for @paulg).

Notable overlap
Follow both
266
Of the smaller indexed set
18.2%
Indexed followers compared
2,667 / 1,464
Public follower counts for context: @naval has 3,935,917, @paulg has 4,955,671. The percentage above is deliberately not calculated against these. Dividing a sampled intersection by a full follower count would be wrong by orders of magnitude while looking perfectly reasonable.

Biggest accounts following both

Showing the 24 largest of 266.

Worked examples

What this measures, exactly

This is the overlap between the parts of two audiences we have indexed, not between the audiences themselves. Our graph is built by reading the following lists of accounts we crawl and a capped sample of each crawled account's followers, so nobody's follower list in it is complete. An account with four million followers might be represented by a few thousand of them here. Because of how those edges are collected, the accounts you see skew toward ones substantial enough to have been crawled themselves, which makes the answer closer to "which notable accounts follow both" than to a raw headcount. That is usually the more useful question, but it is a different one, so the page states both indexed set sizes next to every number rather than reporting a sampled overlap as if it were a total.

Handles we have never crawled are reported as missing rather than fetched on demand. Comparisons are cached for a day, so a link you share loads instantly for whoever opens it.